Single-channel blind separation of co-frequency MPSK signals based on PSP algorithm with DFSE

Xiao Bei Liu; Yong Liang Guan; Soo Ngee Koh

doi:10.1109/MILCOM.2015.7357658

Single-channel blind separation of co-frequency MPSK signals based on PSP algorithm with DFSE

Xiao Bei Liu, Yong Liang Guan, Soo Ngee Koh

Nanyang Technological University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

14 Citations (Scopus)

Abstract

In this paper, the problem of blind separation of a mixture of two co-frequency MPSK signals with the same power level in a single channel is investigated. The performance of the existing per-survivor processing (PSP) algorithm which uses decision-feedback sequence estimation (DFSE) to do the detection of the two sources is firstly analyzed. It is found that the BER of the PSP algorithm with DFSE is affected by the sampling instance. A sampling instance which leads to lower bit error ratio (BER) as compared with the conventional sampling instance is then proposed. Simulation results show that by using the proposed sampling instance, the BER obtained by the PSP algorithm with DFSE is improved by about 2dB in terms of SNR.

Original language	English
Title of host publication	2015 IEEE Military Communications Conference, MILCOM 2015
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1509-1514
Number of pages	6
ISBN (Electronic)	9781509000739
DOIs	https://doi.org/10.1109/MILCOM.2015.7357658
Publication status	Published - Dec 14 2015
Externally published	Yes
Event	34th Annual IEEE Military Communications Conference, MILCOM 2015 - Tampa, United States Duration: Oct 26 2015 → Oct 28 2015

Publication series

Name	Proceedings - IEEE Military Communications Conference MILCOM
Volume	2015-December

Conference

Conference	34th Annual IEEE Military Communications Conference, MILCOM 2015
Country/Territory	United States
City	Tampa
Period	10/26/15 → 10/28/15

Bibliographical note

Publisher Copyright:
© 2015 IEEE.

ASJC Scopus Subject Areas

Electrical and Electronic Engineering

Keywords

Bit error rate
Estimation
Indexes
Receivers
Signal processing algorithms
Signal to noise ratio
Viterbi algorithm

Access to Document

10.1109/MILCOM.2015.7357658

Cite this

Liu, X. B., Guan, Y. L., & Koh, S. N. (2015). Single-channel blind separation of co-frequency MPSK signals based on PSP algorithm with DFSE. In 2015 IEEE Military Communications Conference, MILCOM 2015 (pp. 1509-1514). Article 7357658 (Proceedings - IEEE Military Communications Conference MILCOM; Vol. 2015-December). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/MILCOM.2015.7357658

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title = "Single-channel blind separation of co-frequency MPSK signals based on PSP algorithm with DFSE",

abstract = "In this paper, the problem of blind separation of a mixture of two co-frequency MPSK signals with the same power level in a single channel is investigated. The performance of the existing per-survivor processing (PSP) algorithm which uses decision-feedback sequence estimation (DFSE) to do the detection of the two sources is firstly analyzed. It is found that the BER of the PSP algorithm with DFSE is affected by the sampling instance. A sampling instance which leads to lower bit error ratio (BER) as compared with the conventional sampling instance is then proposed. Simulation results show that by using the proposed sampling instance, the BER obtained by the PSP algorithm with DFSE is improved by about 2dB in terms of SNR.",

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author = "Liu, {Xiao Bei} and Guan, {Yong Liang} and Koh, {Soo Ngee}",

note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 34th Annual IEEE Military Communications Conference, MILCOM 2015 ; Conference date: 26-10-2015 Through 28-10-2015",

year = "2015",

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doi = "10.1109/MILCOM.2015.7357658",

language = "English",

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Liu, XB, Guan, YL & Koh, SN 2015, Single-channel blind separation of co-frequency MPSK signals based on PSP algorithm with DFSE. in 2015 IEEE Military Communications Conference, MILCOM 2015., 7357658, Proceedings - IEEE Military Communications Conference MILCOM, vol. 2015-December, Institute of Electrical and Electronics Engineers Inc., pp. 1509-1514, 34th Annual IEEE Military Communications Conference, MILCOM 2015, Tampa, United States, 10/26/15. https://doi.org/10.1109/MILCOM.2015.7357658

Single-channel blind separation of co-frequency MPSK signals based on PSP algorithm with DFSE. / Liu, Xiao Bei; Guan, Yong Liang; Koh, Soo Ngee.
2015 IEEE Military Communications Conference, MILCOM 2015. Institute of Electrical and Electronics Engineers Inc., 2015. p. 1509-1514 7357658 (Proceedings - IEEE Military Communications Conference MILCOM; Vol. 2015-December).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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N2 - In this paper, the problem of blind separation of a mixture of two co-frequency MPSK signals with the same power level in a single channel is investigated. The performance of the existing per-survivor processing (PSP) algorithm which uses decision-feedback sequence estimation (DFSE) to do the detection of the two sources is firstly analyzed. It is found that the BER of the PSP algorithm with DFSE is affected by the sampling instance. A sampling instance which leads to lower bit error ratio (BER) as compared with the conventional sampling instance is then proposed. Simulation results show that by using the proposed sampling instance, the BER obtained by the PSP algorithm with DFSE is improved by about 2dB in terms of SNR.

AB - In this paper, the problem of blind separation of a mixture of two co-frequency MPSK signals with the same power level in a single channel is investigated. The performance of the existing per-survivor processing (PSP) algorithm which uses decision-feedback sequence estimation (DFSE) to do the detection of the two sources is firstly analyzed. It is found that the BER of the PSP algorithm with DFSE is affected by the sampling instance. A sampling instance which leads to lower bit error ratio (BER) as compared with the conventional sampling instance is then proposed. Simulation results show that by using the proposed sampling instance, the BER obtained by the PSP algorithm with DFSE is improved by about 2dB in terms of SNR.

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KW - Estimation

KW - Indexes

KW - Receivers

KW - Signal processing algorithms

KW - Signal to noise ratio

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Single-channel blind separation of co-frequency MPSK signals based on PSP algorithm with DFSE

Abstract

Publication series

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Bibliographical note

ASJC Scopus Subject Areas

Keywords

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